Successful applications of Generic Atmospheric Correction Online Service for InSAR (GACOS) to the reduction of atmospheric effects on InSAR observations

YU Chen; LI Zhenhong; BAI Lin; MULLER Jan-Peter; ZHANG Jingfa; ZENG Qiming

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Successful applications of Generic Atmospheric Correction Online Service for InSAR (GACOS) to the reduction of atmospheric effects on InSAR observations
Vol. 24, Issue S1, Pages: 191-196(2020)
Received：21 October 2019，

Accepted：16 April 2020，

Published：07 June 2020
DOI：
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DOI：

Yu C,Li Z H,Bai L,Muller J P,Zhang J F and Zeng Q M. 2020. Successful applications of Generic Atmospheric Correction Online Service for InSAR (GACOS) to the reduction of atmospheric effects on InSAR observations. Journal of Remote Sensing(Chinese). 24(S1): 191-196 DOI：

摘要

Abstract

The tremendous development of Synthetic Aperture Radar (SAR) missions in recent years facilitates the study of smaller amplitude ground deformation over greater spatial scales using longer time series. However

this poses greater challenges for correcting atmospheric effects due to the wider coverage of SAR imagery than ever. Previous attempts have used observations from Global Positioning System (GPS) and Numerical Weather Models (NWMs) to separate atmospheric delays

but they are limited by (1) the availability (and distribution) of GPS stations; (2) the low spatial resolution of NWM; and (3) the difficulties in quantifying their performance. To overcome these limitations

we have developed the Generic Atmospheric Correction Online Service for InSAR (GACOS) which utilizes the high-resolution European Centre for Medium-Range Weather Forecasts (ECMWF) products using an Iterative Tropospheric Decomposition (ITD) model. This enables the reduction of the coupling effects of the troposphere turbulence and stratification and hence achieves equivalent performances over flat and mountainous terrains. GACOS comprises a range of notable features: (1) global coverage

(2) all-weather

all-time usability

(3) available with a maximum of two-day latency

and (4) indicators available to assess the model's performance and feasibility. In this paper

we demonstrate some successful applications of the GACOS online service to a variety of geophysical studies.

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Keywords

references

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